A simple screen parsing tool towards pure vision based GUI agent

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

FinRL®: Financial Reinforcement Learning. 🔥

Python training for business analysts and traders

A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm

Productivity Tools for Plotly + Pandas

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry thr…

Stock Trading Bot using Deep Q-Learning

All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly …

High Frequency Market Making

Joyplots in Python with matplotlib & pandas 📈

SABR model Python implementation

A simple TradingView historical Data Downloader

World beating online covariance and portfolio construction.

Anki decks for physics, astronomy, computer science, machine learning, and statistics.

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

Videos, quizzes, code, and slideshows for an Introduction to Graph Neural Networks course

nbconflux converts Jupyter Notebooks to Atlassian Confluence pages

Python modules and jupyter notebook examples for the paper Detect and Repair Arbitrage in Price Data of Traded Options.

Course Material for the machine learning in financial context bootcamp

volatility arbitrage in Heston model

A defined interface for working with a cache of executed jupyter notebooks